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A semiautomatic segmentation method for prostate in CT images using local texture classification and statistical shape modeling
PURPOSE: Prostate segmentation in computed tomography (CT) images is useful for treatment planning and procedure guidance such as external beam radiotherapy and brachytherapy. However, because of the low, soft tissue contrast of CT images, manual segmentation of the prostate is a time‐consuming task...
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| Publicado no: | Med Phys |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6149529/ https://ncbi.nlm.nih.gov/pubmed/29611216 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12898 |
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